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Updated: May 21, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Spatial and temporal trends of multiple sclerosis mortality in Spain, 1992-2022
Ángel Zornoza-Valverde1, María Pastor-Valero2, Julián Librero-López3
1Departamento de Medicina Clínica, Facultad de Medicina, Universidad Miguel Hernández de Elche, Alicante, Spain.
Objectives:
To analyze mortality from multiple sclerosis (MS) in Spain from 1992 to 2022 by geographic region, age, and sex, while considering possible period and cohort effects.
Methods:
This is a retrospective population-based ecological study. Mortality data was obtained from the Spanish National Statistics Institute. Deaths with MS listed as the underlying cause were identified using the International Classification of Diseases (ICD): ICD-9 code 340 for 1992-1998 and ICD-10 code G35 for 1999-2022. They were analyzed using spatial Age-Period-Cohort models fitted with INLA Integrated Nested Laplace Approximation (INLA), and Joinpoint regression was applied to assess national trends in age-standardized mortality.
Results:
During the period studied (1992-2022), a total of 6524 people died from MS in Spain (2701 males and 3823 females), with mortality exhibiting an annual increase of 1% in both sexes without statistically significant differences; the female-to-male ratio rose from 0.898 in 1992 to 1.472 in 2022, indicating a relative increase in mortality among females compared to males (though not statistically significant); a clear north-south gradient in MS mortality was identified, and the cohort at highest risk comprised individuals born between 1950 and 1960.
Conclusion:
MS mortality increased in both sexes over the 1992-2022 period, and a north-south gradient was observed in Spain. Although overall sex differences in the increase in age-standardized mortality were not statistically significant, the female-to-male ratio showed an upward tendency over time, a finding that should be interpreted as a population-level association rather than evidence of causality.
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